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Paper Citation Record · LEDGER

Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.23605.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.23605 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:56:15.634258Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:52:46.011811Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 34e70f00-59ea-4ac3-b671-f97287c8cd25 · inbound

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases cites this paper.

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:15.634258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:15.634258Z digest=sha256:533ce1f2d6518a0de3a1622e2a6b7182befaab7d80bdaf28628cd86e20eba4d8

Observation aab352c6-1b44-46d5-9b5e-2e9415fe5ea2 · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:52:46.041890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T23:52:45.223286Z digest=sha256:2081b05d29e97a2928882a165b89009c16523eb342bb0c5e898167f631b6429e